{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T00:04:17Z","timestamp":1720483457659},"reference-count":91,"publisher":"MIT Press","issue":"2","license":[{"start":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T00:00:00Z","timestamp":1700438400000},"content-version":"vor","delay-in-days":323,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["direct.mit.edu"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Computational typology has gained traction in the field of Natural Language Processing (NLP) in recent years, as evidenced by the increasing number of papers on the topic and the establishment of a Special Interest Group on the topic (SIGTYP), including the organization of successful workshops and shared tasks. A considerable amount of work in this sub-field is concerned with prediction of typological features, for example, for databases such as the World Atlas of Language Structures (WALS) or Grambank. Prediction is argued to be useful either because (1) it allows for obtaining feature values for relatively undocumented languages, alleviating the sparseness in WALS, in turn argued to be useful for both NLP and linguistics; and (2) it allows us to probe models to see whether or not these typological features are encapsulated in, for example, language representations. In this article, we present a critical stance concerning prediction of typological features, investigating to what extent this line of research is aligned with purported needs\u2014both from the perspective of NLP practitioners, and perhaps more importantly, from the perspective of linguists specialized in typology and language documentation. We provide evidence that this line of research in its current state suffers from a lack of interdisciplinary alignment. Based on an extensive survey of the linguistic typology community, we present concrete recommendations for future research in order to improve this alignment between linguists and NLP researchers, beyond the scope of typological feature prediction.<\/jats:p>","DOI":"10.1162\/coli_a_00498","type":"journal-article","created":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T16:09:35Z","timestamp":1700496575000},"page":"781-794","update-policy":"http:\/\/dx.doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":0,"title":["The Role of Typological Feature Prediction in NLP and\n                    Linguistics"],"prefix":"10.1162","volume":"50","author":[{"given":"Johannes","family":"Bjerva","sequence":"first","affiliation":[{"name":"Aalborg University, Department of Computer Science. jbjerva@cs.aau.dk"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","published-online":{"date-parts":[[2024,6,1]]},"reference":[{"key":"2024070814302776400_bib1","article-title":"Massively multilingual word\n                        embeddings","author":"Ammar","year":"2016","journal-title":"CoRR"},{"key":"2024070814302776400_bib2","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1162\/tacl_a_00288","article-title":"Massively multilingual sentence embeddings\n                        for zero-shot cross-lingual transfer and beyond","volume":"7","author":"Artetxe","year":"2019","journal-title":"Transactions of the Association for Computational\n                        Linguistics"},{"key":"2024070814302776400_bib3","doi-asserted-by":"publisher","first-page":"113","DOI":"10.18653\/v1\/D17-1011","article-title":"Past, present, future: A computational\n                        investigation of the typology of tense in 1000 languages","volume-title":"Proceedings of EMNLP","author":"Asgari","year":"2017"},{"key":"2024070814302776400_bib4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.82","article-title":"The past, present, and future of\n                        typological databases in NLP","volume-title":"Findings of the\n                        Association for Computational Linguistics: EMNLP 2023","author":"Baylor","year":"2023"},{"key":"2024070814302776400_bib5","article-title":"Multilingual gradient word-order typology\n                        from universal dependencies","volume-title":"Proceedings of the\n                        Conference of the European Chapter of the Association for Computational\n                        Linguistics (EACL)","author":"Baylor","year":"2024"},{"key":"2024070814302776400_bib6","doi-asserted-by":"publisher","first-page":"21","DOI":"10.3115\/v1\/W14-1603","article-title":"Reconstructing native language typology from foreign language\n                        usage","volume-title":"Proceedings of the Eighteenth Conference\n                        on Computational Natural Language Learning","author":"Berzak","year":"2014"},{"key":"2024070814302776400_bib7","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.7976754","article-title":"The AUTOTYP database (v1.1.1)","author":"Bickel","year":"2023"},{"key":"2024070814302776400_bib8","article-title":"EMNLP keynote: LT4All!? 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